Adopting deep learning methods for airborne RGB fluvial scene classification
(2020)
Journal Article
Carbonneau, P., Dugdale, S., Breckon, T., Dietrich, J., Fonstad, M., Miyamoto, H., & Woodget, A. (2020). Adopting deep learning methods for airborne RGB fluvial scene classification. Remote Sensing of Environment, 251, Article 112107. https://doi.org/10.1016/j.rse.2020.112107
Rivers are among the world's most threatened ecosystems. Enabled by the rapid development of drone technology, hyperspatial resolution (5 billion pixels were labelled and partitioned for the tasks of training (1 billion pixels) and validation (4 bill... Read More about Adopting deep learning methods for airborne RGB fluvial scene classification.